A study that examines the relationship between exposure and health outcome in a population at a certain point in time.
a study in which a number of different-age individuals with the same trait or characteristic of interest are studied at a single time.
the observation of a defined population at a single point in time or time interval. Exposure and outcome are determined simultaneously. See also glossary of study designs. Decision Analysis is the application of explicit, quantitative methods to analyse decisions under conditions of uncertainty.
a descriptive study in which disease and exposure status are measured simultaneously in a given population
an observational study, in which the observations (e
a 'snapshot' or 'point in time' study
a (prospective or retrospective) observational study in which a group is chosen (sometimes as a random sample) from a certain larger population, and the exposures of people in the group to an intervention and outcomes of interest are determined.
In epidemiology, a study in which participants are examined at only a single time for characteristics of a disease.
A type of study that involves the observation of a defined population at a single point in time or time interval. Exposure and outcome are determined simultaneously (a 'snapshot').
This type of epidemiological study is basically the same as a survey. Here, the epidemiologist defines the population to be studied and then collects information from members of the population about their disease and exposure status. Since the data represent a point in time, it's like taking a "snapshot" of the population.
(Syn: prevalence study) An observational study in which the presence of exposure and the presence of disease (or other health-related variables) are ascertained simultaneously at the time of the study. Participants are sampled irrespective of their disease or exposure status. While being less expensive than others, such studies have little statistical power, i.e., few cases and few people exposed. They are best used to describe prevalence of diseases or exposures in a population.
is the observation of a defined population at a single point in time or a specified time interval. Exposure and outcome are measured simultaneously.
An epidemiological study design in which measurements of cause and effect are made at the same point in time.
The observation of a defined population at a single point in time or time interval. Exposure and outcome are determined simultaneously. [ ] Decision analysis (or clinical decision analysis) The application of explicit, quantitative methods that quantify prognoses, treatment effects, and patient values in order to analyze a decision under conditions of uncertainty. [ ] Ecological survey A survey based on aggregate data for some population as it exists at some point or points in time; to investigate the relationship of an exposure to a known or presumed risk factor for a specified outcome.
a study of a group of people at one point in time to determine whether a risk factor or a level of a risk factor is associated with the occurrence of a disease. Because the disease outcome and the risk factor (e.g., nutrient intake) are measured at the same time, a cross-sectional study provides a "snapshot" view of their relationship. Cross-sectional studies cannot provide information about causality.
An observational study that examines a characteristic (or set of characteristics) in a set of subjects at one point in time; a "snap-shot" of a characteristic or condition of interest; also called survey or poll.
a study that examines the relationship between diseases (or other health- related characteristics) and other variables of interest (e.g., age,smoking habits, exercise) as they exist in a defined population at one particular time.
A study examining a population or group at one point in time EHR/NSF Evaluation Handbook, Chapter Seven: GlossarySource web site
Cross-sectional studies (also know as Cross-sectional analysis) form a class of research methods that involve observation of some subset of a population of items all at the same time.